README.md

DEFT 2017 - Sentiment Analysis

Authors: Mickael Rouvier and Pierre-Michel Bousquet

Version: 1.0

Date: 26/06/17

These scripts provide the LIA system that I used for the DEFT 2017 - Sentiment Analysis. The LIA system is a multi-view ensemble of Convolutional Neural Networks (CNN). Four different word embeddins are used to initialize the input of CNN : lexical embedding, sentiment embedding (multi-task learning), sentiment embedding (distant learning) and sentiment embedding (negative sampling). The system is a fusion at the score level of the different CNNs variants.

You can reproduce my results or freely adapt my code for your experiments.

Warning, before to run the system execute the makefile:

make

This executable split the training corpus (K-Fold) and tokenize the tweets: